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Chapter VII

Chapter VII

Causal Research Design:

Causal Research Design:

Experimentation

(2)

Chapter Outline

1) Overview

2) Concept of Causality

3) Conditions for Causality

4) Definition of Concepts

5) Definition of Symbols

6) Validity in Experimentation

7) Extraneous Variables

(3)

9) A Classification of Experimental Designs

9) A Classification of Experimental Designs

10) Pre-experimental Designs

10) Pre-experimental Designs

11) True Experimental Designs

11) True Experimental Designs

12) Quasi Experimental Designs

12) Quasi Experimental Designs

13) Statistical Designs

13) Statistical Designs

14) Laboratory vs. Field Experiments

14) Laboratory vs. Field Experiments

15) Experimental vs. Non-experimental Designs

15) Experimental vs. Non-experimental Designs

16) Limitations of Experimentation

16) Limitations of Experimentation

17) Application: Test Marketing

(4)

18) Determining a Test Marketing Strategy

18) Determining a Test Marketing Strategy

19) International Marketing Research

19) International Marketing Research

20) Ethics in Marketing Research

20) Ethics in Marketing Research

21) Internet and Computer Applications

21) Internet and Computer Applications

22) Focus on Burke

22) Focus on Burke

23) Summary

23) Summary

24) Key Terms and Concepts

24) Key Terms and Concepts

25) Acronyms

(5)

A Classification of Experimental

A Classification of Experimental

Designs

Designs

Experimental Designs

Pre-experimental True Experimental

Quasi

Experimental Statistical One-Shot Case

Study

One Group Pretest-Posttest Static Group

Pretest-Posttest Control Group Posttest: Only Control Group Solomon Four-Group

Time Series

Multiple Time Series

Randomized Blocks

Latin Square

[image:5.720.39.695.69.456.2]

Factorial Design Figure 7.1

(6)

Selecting a Test-Marketing Strategy

Selecting a Test-Marketing Strategy

Competition

Overall Marketing Strategy

S oc io -C ul tu ra l E nv ir on m en t N ee d fo r S ec re cy

New Product Development Research on Existing Products Research on other Elements

Simulated Test Marketing

Controlled Test Marketing

Standard Test Marketing

[image:6.720.61.677.77.493.2]
(7)

Evidence of Concomitant Variation between

Evidence of Concomitant Variation between

Purchase of Fashion Clothing and Education

Purchase of Fashion Clothing and Education

High

High

High

High

Low

Low

363 (73%)

137 (27%)

322 (64%)

178 (36%)

[image:7.720.55.642.130.521.2]

Purchase of Fashion Clothing, Y

Table 7.1 Table 7.1

500 (100%)

500 (100%)

Low

E

d

u

ca

ti

on

, X

(8)

Purchase of Fashion Clothing by

Purchase of Fashion Clothing by

Income and

Income and

Education

Education

Low Income

Low Income

Purchase

Purchase

High

High LowLow

High High Low Low E d u ca ti on E d u ca ti

on 200 (100%)200 (100%)

[image:8.720.19.674.46.513.2]
(9)

Treatment Groups

Block Store Commercial

Commercial Commercial

Number Patronage A B C

1 Heavy

2 Medium

3 Low

4 None

[image:9.720.11.700.97.511.2]

An Example of a Randomized

Block Design

(10)

Interest in the

Store

Store Patronage High

Medium Low

Heavy B A C

Medium C B A

Low and none A C B

[image:10.720.13.700.108.511.2]

An Example of Latin Square Design

An Example of Latin Square Design

Table 7.5
(11)

Amount of Humor

Amount of Store No Medium

High

Information Humor Humor

Humor

Low Medium

High

An Example of a Factorial Design

An Example of a Factorial Design

Table 7.6
(12)

Factor Laboratory Field

Environment Artificial Realistic

Control High Low Reactive Error High Low

Demand Artifacts High Low

Internal Validity High Low

External Validity Low High Time Short Long

Number of Units Small Large

Ease of implementation High Low Cost Low High

[image:12.720.9.708.111.473.2]

Laboratory versus Field Experiments

Laboratory versus Field Experiments

Table 7.7
(13)

Criteria for the Selection of

Criteria for the Selection of

Test Markets

Test Markets

RIP 7.1

RIP 7.1

Test Markets should have the following qualities:

1) Be large enough to produce meaningful projections. They should contain at least 2% of the potential actual

population. 2) Be representative demographically. 3) Be representative with respect to product

consumption behavior. 4) Be representative with respect to media usage. 5) Be representative with respect to competition. 6) Be relatively isolated in terms of media and physical distribution. 7) Have normal

historical development in the product class 8) Have

(14)

Dancer Fitzgerald’s Sample List of

Dancer Fitzgerald’s Sample List of

Recommended Test Markets

Recommended Test Markets

RIP 7.2

RIP 7.2

Albany-Schenectady-Troy, N Knoxville, TN

Boise, ID Lexington, KY

Buffalo, NY Little Rock, AR

Cedar Rapids-Waterloo, IA Louisville, KY

Charlotte, NC Minneapolis, MN

Cincinnati, Oh Nashville, TN

Cleveland, OH Oklahoma City, OK

Colorado Springs-Pueblo, CO Omaha, NE

Columbus, OH Orlando-Daytona Beach, FL

Des Moines, IA Phoenix, AZ

(15)

Dancer Fitzgerald’s Sample List of

Dancer Fitzgerald’s Sample List of

Recommended Test Markets

Recommended Test Markets

RIP 7.2

RIP 7.2

Evansville, IN Portland, OR

Fargo, ND Roanoke-Lynchburg, VA

Fort Wayne, IN Rochester, NY

Green Bay, WI Sacramento-Stockton, CA

Greensboro-High Point, NC St. Louis, MO

Greenville-Spartanburg, SC Salt Lake City, UT

Grand Rapids-Battle Creek, MI Seattle-Tacoma, WA

Gambar

Figure 7.1Figure 7.1
Figure 7.2Figure 7.2
Table 7.1Table 7.1
Table 7.1Table 7.1
+4

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